A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering

ISCAS OpenIR

	A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering
	Song, Ying; Wang, Wencheng
	2013
会议名称	Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA)
会议日期	OCT 29-NOV 01, 2013
会议地点	Kaohsiung, TAIWAN
收录类别	CPCI
出版地	IEEE
部门归属	[Song, Ying; Wang, Wencheng] Chinese Acad Sci, State Key Lab Comp Sci, Inst Software, Beijing 100864, Peoples R China.
摘要	We present a new BSSRDF representation for editing measured anisotropic heterogeneous translucent materials, such as veined marble, jade, artificial stones with lighting-blocking discontinuities. Our work is inspired by the SubEdit representation introduced in [1]. Our main contribution is to improve the accuracy of the approximation while keeping it compact and efficient for editing. We decompose the local scattering profile into an isotropic term and an anisotropic term. The isotropic term encodes the scattering range and albedo property, and the anisotropic term encodes the spatial-variant subsurface scattering shape profile. We propose a compact model for the scattering profile based on non-negative matrix factorization, which allows user-guided editing. Experimental results have shown that our model can capture more spatial-anisotropic features than the previous work with similar compression rate.; We present a new BSSRDF representation for editing measured anisotropic heterogeneous translucent materials, such as veined marble, jade, artificial stones with lighting-blocking discontinuities. Our work is inspired by the SubEdit representation introduced in [1]. Our main contribution is to improve the accuracy of the approximation while keeping it compact and efficient for editing. We decompose the local scattering profile into an isotropic term and an anisotropic term. The isotropic term encodes the scattering range and albedo property, and the anisotropic term encodes the spatial-variant subsurface scattering shape profile. We propose a compact model for the scattering profile based on non-negative matrix factorization, which allows user-guided editing. Experimental results have shown that our model can capture more spatial-anisotropic features than the previous work with similar compression rate.
语种	英语
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/16507
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Song, Ying,Wang, Wencheng. A Data-Driven Model for Anisotropic Heterogeneous Subsurface Scattering[C]. IEEE,2013.